Karakterizacija posnetkov abdominalnih elektromiogramov moških in žensk

Pavrič, Nika (author), Jager, Franc (mentor)

Avtomatska analiza posnetkov abdominalnih elektromiogramov nosečih žensk je obetavna neinvazivna metoda spremljanja razvoja električnih aktivnosti maternice in napovedovanja prezgodnjega poroda. Z namenom boljšega razumevanja osnovnih fizioloških procesov prisotnih v telesu nosečih žensk v obdobju nosečnosti in z namenom razumevanja razlik električnih aktivnostih abdomna moških in žensk, smo kvantitativno okarakterizirali in ocenili razlike ter ločljivost med množicami posnetkov abdominalnih elektromiogramov moških, nenosečih žensk in nosečih žensk tik pred porodom. Za študijo smo uporabili obstoječo množico 12 abdominalnih posnetkov nosečih žensk posnetih tik pred porodom v Porodnišnici Ljubljana na Kliničnem oddelku za perinatologijo in lastno posneti množici 12 abdominalnih posnetkov moških ter 12 abdominalnih posnetkov nenosečih žensk. Slednji dve množici smo posneli z isto snemalno aparaturo in istim protokolom snemanja kot so bili posneti posnetki nosečih žensk. Karakterizacija in evaluacija razlik ter ločljivosti med množicami temeljijo na osnovi analize moči in frekvenc vrhov normiranega spektra moči signalov posnetkov v izbranih frekvenčnih področjih znotraj katerih pričakujemo fiziološke procese povezane z nosečnostjo kot so počasni valovi (PV), spodnji hitri valovi (SHV) in spremembe srčne frekvence (SF) z njenimi višjimi harmoniki. Povprečni normirani spektri moči signalov posnetkov so si zelo podobni za vse tri množice. Odstotki normiranega spektra moči v frekvenčnem področju PV niso pokazali nobene ločljivosti med tremi množicami, p ≥ 0,02 v vseh primerih. Odstotki normiranega spektra moči v frekvenčnem področju SHV so najnižji za množico moških, p < 0,01 proti množici nenosečih žensk in proti množici žensk tik pred porodom, a le za signale snemane bližje srcu. Razmerja moči frekvenčnih področij PV in SHV kažejo ločljivost le v spodnjem horizontalnem signalu, p < 0,01 za množici posnetkov nenosečih žensk in žensk tik pred porodom. V frekvenčnem področju SF so odstotki normiranega spektra moči najvišji, prav tako za množico moških, p < 0,01 proti obema množicama žensk. Frekvence vrhov normiranega spektra moči v izbranih frekvenčnih področjih niso pokazale nobene pomembne ločljivosti med tremi množicami, p ≥ 0,019 v vseh primerih. Zaključujemo, da so fiziološki procesi, ki jih s snemanjem abdominalnih elektromiogramov nosečih žensk najdemo v frekvenčnih področjih PV, SHV in SF pretežno povezani z električno aktivnostjo drugih organov in tkiv človeškega telesa ter manj z maternico samo. Prispevek električne aktivnosti maternice se kaže le v frekvenčnem področju SHV.

• Language: Slovenian
• Keywords: Abdominalni elektromiogram, fiziološki procesi, karakterizacija, ločljivost, spekter moči signala.
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2025
• PID: 20.500.12556/RUL-170518
• COBISS.SI-ID: 243132931
• Publication date in RUL: 08.07.2025

Secondary language

• Language: English
• Title: Characterization of abdominal electromyogram recordings of men and women

Abstract

Automated analysis of abdominal electromyogram recordings of pregnant women is a promising non-invasive method for monitoring the development of uterine electrical activities and predicting preterm birth. In order to better understand the basic physiological processes present in the body of pregnant women during pregnancy, and to understand the differences in the electrical activity of the abdomen of men and women, we quantitatively characterized and evaluated the differences and separability between sets of recordings of abdominal electromyograms of men, non-pregnant women, and pregnant women just before delivery. For the study, we used an existing set of 12 abdominal recordings of pregnant women recorded just before delivery at the Ljubljana Maternity Hospital, Clinical Department of Perinatology, and selfrecorded sets of 12 abdominal recordings of men and 12 abdominal recordings of non-pregnant women. The latter two sets were recorded with the same recording device and the same recording protocol as were the recordings of pregnant women. Characterization and evaluation of the differences and separability between the sets are based on the analysis of the power and peak frequencies of the normalized power spectrum of the recorded signals in the selected frequency bands within which we expect physiological processes connected to pregnancy such as: SlowWaves (SW), FastWaves Low (FWL), and Heart Rate (HR) changes with its higher harmonics. The average normalized signal power spectra of the recordings are very similar for all three sets. The percentages of the normalized power spectrum in the SW frequency band did not show any separability between the three sets, p ≥ 0,02 in all cases. The percentages of the normalized power spectrum in the FWL frequency band are the lowest for the men set, p < 0,01 against the set of non-pregnant women and against the set of women just before delivery, but only for the signals redorded closer to the heart. The power ratios of the SW and FWL frequency bands show separability only in the lower horizontal signal, p < 0.01 for the sets of non-pregnant women and women just before delivery. In the HR frequency band, the percentages of the normalized power spectrum are the highest, also for the men set, p < 0,01 against both sets of women. The peak frequencies of the normalized power spectrum in the selected frequency bands did not show any significant separability between the three sets, p ≥ 0,019 in all cases. We conclude that the physiological processes found in the SW, FWL and HR frequency bands by recording abdominal electromyograms of pregnant women are more related to the electrical activity of other organs and tissues of the human body, and less to the uterus itself. The contribution of the electrical activity of the uterus is only partially evident in the FWL frequency range.

• Keywords: Abdominal electromyogram, Physiological processes, Characterization, Separability, Signal power spectrum.